Category
Applied AI, LLM workflows, agents, and tooling.
← All articlesWhat does it actually look like when a customer chats with a support bot and RAG plus an agentic loop run quietly behind the scenes? Four real-world automation blueprints — intelligent support, medical report analysis, legal consultation, and finance advisory — drawn as process diagrams you can build from.
The tooling around AI agents and RAG has exploded, and most "top 10 tools" lists are just logos. This is the opinionated map: what each tool is actually for, when to reach for it, when to skip it, and how the pieces fit into one coherent stack.
A demo RAG pipeline is forty lines of code. A RAG system that gives correct, grounded answers to real users at real scale is a different animal entirely. Chunking, hybrid retrieval, reranking, evaluation, caching, and the guardrails that stop it from confidently lying.
Generative AI, an AI agent, and agentic AI are three different things — and most teams ship the wrong one because they never drew the line. A plain-language map of what each actually is, how they stack, and how to pick the right altitude for the job. With diagrams, no hype.